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Phishing detection using content-based image classification / (Record no. 55945)

MARC details
000 -LEADER
fixed length control field 04900nam a2200685 i 4500
001 - CONTROL NUMBER
control field on1314330186
003 - CONTROL NUMBER IDENTIFIER
control field EBZ
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251029164100.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu---unuuu
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220417t20222022flua ob 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2021060070
040 ## - CATALOGING SOURCE
Original cataloging agency EBZ
Language of cataloging eng
Transcribing agency EBZ
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
National bibliography number GBC273430
Source bnb
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER
Record control number 020565735
Source Uk
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781003217381
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1003217389
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000597684
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000597687
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000597691
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000597695
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781032108537
Qualifying information hardcover
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781032265025
Qualifying information paperback
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1201/9781003217381
Source of number or code doi
037 ## - SOURCE OF ACQUISITION
Stock number 9781000597691
Source of stock number/acquisition Ingram Content Group
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 04 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HV6773.15.P45
Item number K43 2022
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Khandelwal, Shekhar,
Relator term author.
9 (RLIN) 64226
245 10 - TITLE STATEMENT
Title Phishing detection using content-based image classification /
Statement of responsibility, etc. Shekhar Khandelwal and Rik Das.
250 ## - EDITION STATEMENT
Edition statement First edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Boca Raton :
Name of producer, publisher, distributor, manufacturer CRC Press, Taylor & Francis Group,
Date of production, publication, distribution, manufacture, or copyright notice 2022.
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2022
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xii, 119 pages) :
Other physical details illustrations
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
341 0# -
-- textual
-- sapdv
-- EBSCOhost
500 ## - GENERAL NOTE
General note "A Chapman & Hall book."
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. "Phishing Detection using content-based image classification is an invaluable resource for any deep learning and cybersecurity professional and scholar trying to solve various cybersecurity tasks using new age technologies like Deep Learning and Computer Vision. With various rule-based phishing detection techniques at play which can be bypassed by phishers, this book provides a step-by-step approach to solve this problem using Computer Vision and Deep Learning techniques with significant accuracy. The book offers comprehensive coverage of the most essential topics, including: Programmatically reading and manipulating image data; Extracting relevant features from images; Building statistical models using image features; Using state of the art Deep Learning models for feature extraction; Build a robust phishing detection tool even with less data; Dimensionality reduction techniques; Class imbalance treatment; Feature Fusion techniques; Building performance metrics for multi-class classification task. Another unique aspect of this book is it comes with a completely reproducible code base developed by the author and shared via python notebooks for quick launch and running capabilities. They can be leveraged for further enhancing the provided models using new advancement in the field of computer vision and more advanced algorithms"--
Assigning source Provided by publisher.
532 #0 -
-- EBSCOhost
-- "EBSCO evaluates our products based on the Web Content Accessibility Guidelines (WCAG) and the related Section 508 and EN 301 549 regulations in the US and EU. Most EBSCO products are substantially conformant with WCAG 2.2 level AA." Source: https://connect.ebsco.com/s/article/EBSCO-VPATs?language=en_US. Last accessed April 22, 2025.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on online resource; title from digital title page (viewed on September 23, 2022).
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Phishing and cybersecurity -- Image processing based phishing detection techniques -- Implementing CNN for classifying phishing websites -- Transfer learning approach in phishing detection -- Feature extraction and representation learning -- Dimensionality reduction techniques -- Feature fusion techniques -- Comparison of phishing detection approaches -- Basics of digital image processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
General subdivision Prevention.
9 (RLIN) 64227
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
General subdivision Digital techniques.
9 (RLIN) 64228
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 64229
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
General subdivision Classification.
9 (RLIN) 64230
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 64231
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
Source of heading or term aat
9 (RLIN) 64232
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Das, Rik,
Dates associated with a name 1978-
Relator term author.
9 (RLIN) 64233
758 ## -
-- has work:
-- PHISHING DETECTION USING CONTENT BASED IMAGE CLASSIFICATION (Text)
-- https://id.oclc.org/worldcat/entity/E39PCXvW8jYhKhPDfmT7cVc9Dq
-- https://id.oclc.org/worldcat/ontology/hasWork
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Khandelwal, Shekhar.
Title Phishing detection using content based image classification
Edition First edition.
Place, publisher, and date of publication Boca Raton : Chapman & Hall/CRC Press, 2022
International Standard Book Number 9781032108537
Record control number (DLC) 2021060069
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified EBSCOhost
Uniform Resource Identifier <a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3275752">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3275752</a>
938 ## -
-- Askews and Holts Library Services
-- ASKH
-- AH39551245
938 ## -
-- EBSCOhost
-- EBSC
-- 3275752
994 ## -
-- 92
-- N$T

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Biblioteca Universității "Dunărea de Jos" din Galați